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Expected Net Present Value of Sample Information

Author

Listed:
  • Peter S. Hall
  • Richard Edlin
  • Samer Kharroubi
  • Walter Gregory
  • Christopher McCabe

Abstract

The Expected Value of Information Framework has been proposed as a method for identifying when health care technologies should be immediately reimbursed and when any reimbursement should be withheld while awaiting more evidence. This framework assesses the value of obtaining additional evidence to inform a current reimbursement decision. This represents the burden of not having the additional evidence at the time of the decision. However, when deciding whether to reimburse now or await more evidence, decision makers need to know the value of investing in more research to inform a future decision. Assessing this value requires consideration of research costs, research time, and what happens to patients while the research is undertaken and after completion. The investigators describe a development of the calculation of the expected value of sample information that assesses the value of investing in further research, including an only-in-research strategy and an only-with-research strategy.

Suggested Citation

  • Peter S. Hall & Richard Edlin & Samer Kharroubi & Walter Gregory & Christopher McCabe, 2012. "Expected Net Present Value of Sample Information," Medical Decision Making, , vol. 32(3), pages 11-21, May.
    • Handle: RePEc:sae:medema:v:32:y:2012:i:3:p:e11-e21
    DOI: 10.1177/0272989X12443010
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    References listed on IDEAS

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    1. Claire McKenna & Karl Claxton, 2011. "Addressing Adoption and Research Design Decisions Simultaneously," Medical Decision Making, , vol. 31(6), pages 853-865, November.
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    Cited by:

    1. Lauren E. Cipriano & Thomas A. Weber, 2018. "Population-level intervention and information collection in dynamic healthcare policy," Health Care Management Science, Springer, vol. 21(4), pages 604-631, December.

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